Process
Explain the significance of the ROC curve in machine learning. Discuss a machine learning model you have experience with and its underlying principles. What algorithms would you use for a classification problem? What algorithms would you use for a classification problem?
Questions
Explain the architecture and components of a Convolutional Neural Network (CNN).
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Interview Statistics
The following metrics were computed from 15 interview experiences for the IBM AI Engineer role in United States.
Success Rate
20%
Pass Rate
IBM's interview process for their AI Engineer roles in the United States is very selective, failing most engineers who go through it.
Experience Rating
Positive27%
Neutral47%
Negative27%
Candidates reported having mixed feelings for IBM's AI Engineer interview process in United States.
IBM Work Experiences
4.0
A good place to work
AI Engineer • Current Employee
Montreal, Quebec, Canada
December 16, 2024
Pros: - Pay & Benefits
- Work culture
- Remote work
Cons: - HR culture
- No remote work outside the country
- Office space
4.0
Innovative R&d, Big Company Hassles
AI Engineer • Former Employee
September 23, 2020
Pros: Innovative R&D with great resources.
Cons: Big company red tape and politics.
5.0
Good for stability and work-life balance
AI Engineer • Current Employee
Bengaluru, Karnataka, India
December 2, 2025
Pros: Good work-life balance and job security.
Cons: Growth is a bit slow-paced.
- 4.0A good place to workAI Engineer • Current EmployeeMontreal, Quebec, CanadaDecember 16, 2024Pros: - Pay & Benefits - Work culture - Remote workCons: - HR culture - No remote work outside the country - Office space
- 4.0Innovative R&d, Big Company HasslesAI Engineer • Former EmployeeSeptember 23, 2020Pros: Innovative R&D with great resources.Cons: Big company red tape and politics.
- 5.0Good for stability and work-life balanceAI Engineer • Current EmployeeBengaluru, Karnataka, IndiaDecember 2, 2025Pros: Good work-life balance and job security.Cons: Growth is a bit slow-paced.
IBM Interview Questions
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